气候变化领域集成服务门户(CCPortal): Data-driven methodological approach for modeling rainfall-induced infiltration effects on combined sewer overflow in urban catchments

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DOI	10.1016/j.jhydrol.2024.130834
	Data-driven methodological approach for modeling rainfall-induced infiltration effects on combined sewer overflow in urban catchments
	Montoya-Coronado, V. A.; Tedoldi, D.; Castebrunet, H.; Molle, P.; Kouyi, G. Lipeme
发表日期	2024
ISSN	0022-1694
EISSN	1879-2707
起始页码	632
卷号	632
英文摘要	Combined sewer system deterioration poses significant challenges, especially as it leads to substantial volumes of Permanent Infiltration Inflow (PII) and Rain-Induced Infiltration (RII) to percolate into sewer pipes. This infiltration increases the risk of Combined Sewer Overflow (CSO) events and reduces the treatment plant's efficiency by diluting raw effluent. To effectively decrease CSO volumes, it is crucial to identify the various flow components and their contribution to overflow volumes. In this study, a data-driven hydrological model was developed, conceptualizing the surface hydrological processes as well as the interactions between soil water and the sewer system, based on long-term monitoring. Four flow components at the outlet of the catchment were identified and characterized: wastewater, surface runoff, PII, and RII. The model was applied and evaluated using monitored data from the Ecully catchment in France. The model demonstrated its suitability in replicating the observed hydrograph and estimating CSO volumes. Two sewer system scenarios were proposed, investigating the effect of partial and complete reduction of PII and RII on CSO volumes. The results showed a reduction of the annual CSO volume by 5 % to 7.5 %, and 12 % to 17 %, in the first and second scenario, respectively. To compare the performance of these scenarios with stormwater management strategies, two other scenarios were considered where source control measures allowed infiltration of the first 5 and 10 mm of rainfall. The results demonstrated that these measures could, respectively, reduce CSO volumes by 13 % to 48 % and completely eliminate CSO for half of the events. This study highlights the limitations of relying solely on PII and RII strategies to eliminate CSO events and emphasizes the necessity of considering stormwater management strategies.
英文关键词	Combined sewer overflow; Parsimonious urban hydrology model; Rainfall-induced infiltration; Stormwater management; Sustainable Urbain Drainage Systems
语种	英语
WOS研究方向	Engineering ; Geology ; Water Resources
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS记录号	WOS:001188831900001
来源期刊	JOURNAL OF HYDROLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302673
作者单位	Institut National des Sciences Appliquees de Lyon - INSA Lyon; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); INRAE
推荐引用方式 GB/T 7714	Montoya-Coronado, V. A.,Tedoldi, D.,Castebrunet, H.,et al. Data-driven methodological approach for modeling rainfall-induced infiltration effects on combined sewer overflow in urban catchments[J],2024,632.
APA	Montoya-Coronado, V. A.,Tedoldi, D.,Castebrunet, H.,Molle, P.,&Kouyi, G. Lipeme.(2024).Data-driven methodological approach for modeling rainfall-induced infiltration effects on combined sewer overflow in urban catchments.JOURNAL OF HYDROLOGY,632.
MLA	Montoya-Coronado, V. A.,et al."Data-driven methodological approach for modeling rainfall-induced infiltration effects on combined sewer overflow in urban catchments".JOURNAL OF HYDROLOGY 632(2024).